Lead Data Scientist - Autonomous Goal Management

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Become a part of our caring community The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence. We are building advanced agentic systems capable of autonomously managing and decomposing complex goals. We are seeking an expert in agent design, planning, and control to develop and evaluate agents that can set, adapt, and execute goals in dynamic, real-world environments. You’ll contribute to the scientific and engineering foundations that make AI agents reliable, interpretable, and robust across long-horizon tasks. Key Responsibilities Architect goal setting and goal decomposition mechanisms for autonomous agents operating in uncertain or open-ended environments Design and implement dynamic planning systems (e.g., hierarchical planning, curriculum learning, scratchpad/self-refinement loops) Collaborate on memory, tool-use, and feedback-loop designs enabling multi-step, self-directed agent behavior Develop evaluation frameworks for alignment with human intent, consistency, progress against long-horizon objectives Prototype agents that interface with APIs, MCP servers, search engines, databases, or real-world actuators to pursue goals safely and efficiency Explore mechanisms to detect and mitigate goal misalignment, looping behavior, or undesirable emergent strategies Work across teams to integrate goal alignment with safety, alignment, and operational reliability mechanisms Technical skills Proficiency in SQL, Python, and data analysis/data mining tools. Experience with machine learning frameworks like Pytorch, Jax, LangChain, LangGraph or AutoGen Experience with high performance, large-scale ML systems Experience with language modeling with transformers Experience with symbolic planning, causal reasoning, and model-based RL Experience with large-scale ETL Use your skills to make an impact Required Qualifications Master's Degree and 4+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions 2+ years of experience leading development of AI/ML systems Preferred Qualifications Ph.D. in Computer Science, Data Science, Machine Learning, or a related field Demonstrated experience shipping autonomous, or semi-autonomous agents in production or simulation Experience with LLM-based agents with scratchpad/self-reflection or hierarchical task decomposition Understanding of autonomy risk mitigation strategies, including off-switch protocols, or bounded rationality Additional Information Location/Work Style: Remote US Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.Travel: While this is a remote position, occasional travel to Humana 's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours p

成为我们关爱社区的一员。Humana的企业AI组织是一支先锋力量，推动着我们保险和CenterWell业务板块的AI创新。通过与世界领先专家合作，我们处于交付前沿AI技术的最前线，以改善数百万消费者的护理质量和体验。我们正在积极寻找顶尖人才，开发稳健且可复用的AI模块和流水线，确保遵循可问责AI的最佳实践，以实现有效的风险管理和衡量。加入我们，通过AI卓越塑造医疗保健的未来。我们正在构建先进的agentic系统，能够自主管理和分解复杂目标。我们正在寻找agent设计、规划和控制方面的专家，开发并评估能够在动态现实环境中设定、调整和执行目标的agent。你将为我们奠定科学和工程基础做出贡献，使AI agent在长时程任务中可靠、可解释且稳健。关键职责为在不确定或开放式环境中运行的自主agent设计目标设定和目标分解机制设计并实现动态规划系统（例如，分层规划、课程学习、scratchpad/自我精炼循环）协作设计记忆、工具使用和反馈循环，使多步骤、自主导向的agent行为成为可能开发评估框架，以衡量与人类意图的一致性、一致性、长时程目标的进展对与API、MCP服务器、搜索引擎、数据库或现实世界执行器交互以安全高效地追求目标的agent进行原型设计探索检测和缓解目标错位、循环行为或不良涌现策略的机制跨团队合作，将目标对齐与安全、对齐和运营可靠性机制集成技术技能精通SQL、Python和数据分析/数据挖掘工具。具有使用PyTorch、Jax、LangChain、LangGraph或AutoGen等机器学习框架的经验具有高性能、大规模ML系统的经验具有使用transformers进行语言建模的经验具有符号规划、因果推理和基于模型的RL的经验具有大规模ETL的经验运用你的技能产生影响必备资格硕士学位以及4年以上研究/ML工程或应用研究科学家职位经验，最好专注于开发生产就绪的AI解决方案2年以上领导AI/ML系统开发的经验优先资格计算机科学、数据科学、机器学习或相关领域的博士学位具有在生产或仿真中交付自主或半自主agent的证明经验具有基于LLM的agent使用scratchpad/自我反思或分层任务分解的经验理解自主性风险缓解策略，包括关闭开关协议或有界理性附加信息地点/工作方式：美国远程居家工作要求：为确保居家或混合居家/办公室员工有效工作，居家或混合居家/办公室员工自提供的互联网服务必须满足以下标准：至少需要25 Mbps的下载速度和10 Mbps的上传速度；建议使用无线、有线电缆或DSL连接。在某些角色中，Humana要求的最低推荐互联网速度可能不足以满足业务需求。Humana保留在必要时要求员工升级其互联网服务的权利。在缺乏持续干扰的专用空间工作，以保护会员PHI/HIPAA信息。出差：虽然这是一个远程职位，但可能需要偶尔前往Humana办公室参加培训或会议。每周计划工时40薪资范围以下薪酬范围反映了全职（每周40小时）起始基本工资的善意估计

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